AI Engineer

Chase Robotics and Ai; Rocklin (CA); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Hybrid remote environment

Job summary

Chase Robotics and Ai in Rocklin, CA is seeking an experienced AI Engineer to design, build, and deploy scalable ML models and NLP solutions. The role blends research and production, leveraging Python, Java, and cloud services to turn data into actionable insights.

The team works in a hybrid environment, with a focus on robust, scalable AI applications. Join us to drive AI initiatives from concept to production, collaborating across disciplines, and delivering high-performance analytics in a

Qualifications

• Proven background in machine learning and AI-driven analysis; practical AI experience.
• Hands-on proficiency with ML frameworks such as TensorFlow, Spark MLlib, or comparable tools.
• Familiarity with big data platforms including Hadoop ecosystem components (HDFS, MapReduce) plus Spark for large-scale processing.
• Strong programming skills in Python, Java, C, VBA, and Bash, with working knowledge of SQL.

Responsibilities

• Develop, train, and assess ML models using frameworks like TensorFlow for strong accuracy and efficiency.
• Build and maintain scalable big data solutions using Hadoop, Spark, and ETL workflows for large datasets.
• Apply statistical modeling and analysis with R, SAS, and related tools to uncover actionable insights.
• Deploy AI models into production environments and ensure robustness across AWS cloud platforms.
• Partner with cross-functional teams to create NLP applications and generative AI solutions.
• Lead model training efforts focused on predictive analytics and continuous improvements.
• Work with SQL databases, data mining methods, and database design for analytics.

Skills

Machine learning

TensorFlow

Big data

Python

Java

SQL

AWS

NLP

Statistical analysis

Data mining

Looker

Talend

Spark

Hadoop

Bash

VBA

R

Tools

Hadoop

Spark

Talend

Looker

Job description

Requirements

Must have

• Proven background in machine learning and AI-driven analysis, with practical experience applying AI in real-world settings.
• Hands-on proficiency with machine learning frameworks such as TensorFlow, Spark MLlib, or comparable tools.
• Familiarity with big data platforms, including Hadoop ecosystem components such as HDFS and MapReduce, plus Spark for large-scale data processing.
• Strong programming skills in Python, Java, C, VBA, and Bash, along with working knowledge of SQL for database management.
• Experience using cloud-based machine learning services on AWS or similar providers.
• Knowledge of NLP, predictive modeling, statistical analysis tools, and model evaluation methods.
• Understanding of analytics workflows involving data mining, data integration tools such as Talend, Looker for visualization, and scalable data architecture.

Responsibilities

• Develop, train, and assess machine learning models using frameworks like TensorFlow to achieve strong accuracy and efficiency.
• Build and maintain scalable big data solutions using Hadoop, Spark, and ETL workflows to handle large datasets.
• Apply statistical modeling and analysis with tools such as R, SAS, and related software to uncover actionable insights.
• Deploy AI models into production environments and ensure they remain robust and scalable across cloud platforms such as AWS.
• Partner with cross-functional teams to create NLP applications and generative AI solutions that improve user engagement.
• Lead model training efforts focused on predictive analytics, model assessment, and ongoing improvement cycles.
• Work with SQL databases, data mining methods, and database design principles to improve data storage and retrieval for analytics.

Company

We are an innovative team building cutting-edge artificial intelligence solutions that turn data into actionable insights. In this AI Engineer role, we design, develop, and deploy advanced AI models and machine learning frameworks to address complex business challenges. We operate in a hybrid remote environment based in Rocklin, CA, offer compensation of up to $200,000 per year, and foster a culture of innovation where our work helps drive technological progress across industries.